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Re: st: Need Help with Stata Programming


From   Nick Cox <[email protected]>
To   "[email protected]" <[email protected]>
Subject   Re: st: Need Help with Stata Programming
Date   Wed, 20 Nov 2013 14:11:41 +0000

Note that some simplifications of technique may be possible if the
event occurs at most once for each identifier. That is suggested by
your example, but may not be the rule.
Nick
[email protected]


On 20 November 2013 13:27, Nick Cox <[email protected]> wrote:
> A similar question was posted only yesterday
>
> http://www.stata.com/statalist/archive/2013-11/msg00745.html
>
> and advice included a reference
>
> SJ-7-3  pr0033  . . . . . . . . . . . . . .  Stata tip 51: Events in intervals
>         . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  N. J. Cox
>         Q3/07   SJ 7(3):440--443                                 (no commands)
>         tip for counting or summarizing irregularly spaced
>         events in intervals
>
> which is accessible at http://www.stata-journal.com/sjpdf.html?articlenum=pr0033
>
>
> Nick
> [email protected]
>
>
> On 20 November 2013 13:11, Michael Stewart
> <[email protected]> wrote:
>
>> I am trying to measure number of visits/admissions before and after a
>> particular event and was hoping to get help from Stata programmers in
>> the Statalist
>>
>> My dataset is as follows . ED: stands for emergency department visit &
>> IP stands for Inpatient admission
>>
>> Patients are sorted chronologically (by date).
>>
>> My goal is
>>
>> 1)Count number of admissions(i.e., admit_type==IP) 60 days before the
>> event(i.e., event==1) OR 60 days after the event(i.e., event==1).
>> 2)Sum up the cost of the admissions (i.e., admit_type==IP) 60 days
>> before the event(i.e., event==1) OR 60 days after the event(i.e.,
>> event==1).
>
>
>> 3               ED              0               date_1  USD xx
>> 3               IP              0               date_2  USD xx
>> 3               ED              0               date_3  USD xx
>> 3               IP              0               date_4  USD xx
>> 3               IP              1               date_5  USD xx
>> 3               ED              0               date_6  USD xx
>> 3               IP              0               date_7  USD xx
>> 3               ED              0               date_8  USD xx
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